Full Infrastructure Stack

The complete blockchain data platform, from raw chain ingestion to queryable storage. Source, transform, deliver across 100+ chains with sub-500ms latency (dedicated infra).

Most blockchain data tools solve one piece of the puzzle. An RPC provider gives you raw data. A subgraph service gives you a specific query interface. A data warehouse gives you storage. You're left stitching them together, managing the gaps, and debugging the seams.

Indexing Co is the full stack. One platform that ingests raw blockchain data, transforms it through your custom logic, and delivers it directly to your infrastructure. No middleware. No third-party dependencies between you and your data.

The Stack

Source Layer Connect to 100+ blockchain networks through a unified ingestion engine. EVM chains, Solana, Cosmos, and more. The source layer handles node connections, block polling, reorg detection, and chain-specific quirks so your pipeline logic doesn't have to. Automatic reorg handling with configurable confirmation depth, factory-pattern contract discovery (new pools, new markets, new vaults), and multi-chain parallel ingestion from a single pipeline definition.

Transform Layer Write TypeScript transformation logic that decodes raw events into your schema. Your business logic runs in your transformation functions, not in a black-box indexing service. Decode any event signature or transaction type, enrich with cross-contract calls or off-chain data, filter and reshape data before it reaches storage, and version your transforms alongside your application code.

Delivery Layer Data goes where you need it. No intermediate APIs, no query limits, no vendor lock-in. Supports PostgreSQL (direct table writes), BigQuery (streaming inserts for analytics), webhooks (push events to your backend in real time), GraphQL (query indexed data through a managed API), and custom targets via Kafka, S3, or the plugin system.

How It Fits Together

Chain (100+) --> Source --> Transform --> Deliver --> Your Infrastructure
                 |            |             |
              Reorg       TypeScript     PostgreSQL
              handling    functions      BigQuery
              Factory     Filtering      Webhooks
              discovery   Enrichment     GraphQL

A single pipeline definition covers the entire flow. Define which contracts to watch, write your transform logic, pick your delivery target. Deploy once, and data flows continuously.

Why a Full Stack Matters

No gaps in the pipeline When source, transform, and delivery are separate services from separate vendors, failures between them are your problem. With Indexing Co, the entire pipeline is a single managed unit with end-to-end monitoring.

One deployment model No separate infra for ingestion, transformation, and storage. One pipeline config, one deployment, one monitoring dashboard. Operational complexity scales linearly, not exponentially.

Data integrity guarantees The platform guarantees exactly-once delivery from chain to storage. Reorgs are handled at the source layer, transforms are idempotent, and delivery is transactional. No missing events, no duplicates.

Key Numbers

100+ chains from a single platform
sub-500ms block-to-database on dedicated infrastructure
1B+ events/day processed across production pipelines
1.6 TB/day of raw blockchain data ingested
99.9% uptime standard, 99.99% on dedicated deployments

FAQ

Does Indexing Co cover the full path from chain ingestion to database delivery?

Yes. The stack spans RPC access, decoding, transformation, reorg handling, delivery, and monitoring so teams do not have to assemble separate vendors for each layer.

Can I choose shared or dedicated infrastructure?

Yes. Shared infrastructure fits lower-volume or early-stage workloads, while dedicated deployments provide isolated performance, stronger SLAs, and lower latency.